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News Conference News TCT 2024

Co-STAR Hints That Colchicine May Curb Rhythm Disturbances After TAVI

Michael O'Riordan

November 06, 2024

Presentation TCT 2024

Screening for Undiagnosed Aortic Stenosis in Health System EHRs Using ECG-based AI Detection Model (AccurKardia)

Presenter: Moin Hussaini

October 30, 2024

Presentation TCT 2024

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

Presenter: Michael Leasure

October 30, 2024

News Conference News TCT 2024

EVOLVED: Early AVR Fails to Help Asymptomatic AS Patients With Fibrosis

Michael O'Riordan

October 28, 2024

Presentation TCT 2024

TCT 594: AI-powered STEMI Network: First Prospective Implementation of Smartphone-based ECG Interpretation System Assisting Emergent Cathlab Activation

Presenter: Robert Herman

October 28, 2024

Presentation TCT 2024

TCT 194: Evaluating Artificial Intelligence Prediction of Occlusive Myocardial Infarction From 12 Lead ECGs After Resuscitated out of Hospital Cardiac Arrest

Presenter: Uzma Sajjad

October 27, 2024

Presentation TCT 2024

TCT 197: Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

Presenter: Michael Leasure

October 27, 2024

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Co-STAR Hints That Colchicine May Curb Rhythm Disturbances After TAVI

Screening for Undiagnosed Aortic Stenosis in Health System EHRs Using ECG-based AI Detection Model (AccurKardia)

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

EVOLVED: Early AVR Fails to Help Asymptomatic AS Patients With Fibrosis

TCT 594: AI-powered STEMI Network: First Prospective Implementation of Smartphone-based ECG Interpretation System Assisting Emergent Cathlab Activation

TCT 194: Evaluating Artificial Intelligence Prediction of Occlusive Myocardial Infarction From 12 Lead ECGs After Resuscitated out of Hospital Cardiac Arrest

TCT 197: Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

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